Job description
COMPANY OVERVIEW
Domo's AI and Data Products Platform lets people channel AI and data into innovative uses that deliver a measurable impact. Anyone can use Domo to prepare, analyze, visualize, automate, and build data products that are amplified by AI.
POSITION SUMMARY
As a Senior CloudOps Engineer at Domo, you will play a crucial role in designing, implementing, and maintaining scalable and reliable infrastructure to support our data-driven AI platform. You will collaborate closely with engineering, product, and operations teams to streamline deployment pipelines, improve system reliability, and optimize cloud environments. If you thrive in a fast-paced environment and have a passion for automation, optimization, and software development, we want to hear from you!
KEY RESPONSIBILITIES
Design, build, and maintain scalable infrastructure using cloud platforms (AWS, GCP, or Azure)
Automate provisioning, configuration, and management of infrastructure using Terraform, Ansible, or SaltStack
Manage AI tooling and infrastructure to support product and company initiatives
Develop and maintain tooling to automate, facilitate, and monitor operational tasks
Monitor system health and performance, troubleshoot issues, and implement proactive solutions
Collaborate with software engineers to improve service scalability, availability, and security
Lead incident response and post-mortem analysis to ensure service reliability
Develop and manage CI/CD pipelines to enable rapid and reliable deployments
Drive CloudOps best practices and continuous improvement initiatives across teams
JOB REQUIREMENTS
5+ years of experience in CloudOps, DevOps, Site Reliability Engineering, or infrastructure engineering roles
3+ years working in a SaaS environment
Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related field
Expertise in cloud platforms such as AWS, GCP, or Azure. Certifications preferred
Strong experience with infrastructure as code (Terraform, CloudFormation, etc.)
Proficiency in automation and configuration management tools such as Ansible and SaltStack
Hands-on experience with containerization (Docker) and orchestration (Kubernetes)
Experience with modern AI tools including MCP management
Solid understanding of CI/CD tools (Jenkins, GitHub Actions, etc.) and processes
Strong scripting skills in Python, Bash, or similar languages
Proficiency with Linux system administration and troubleshooting
Experience with version control systems, particularly Git
Experience with monitoring and logging tools (Prometheus, Grafana, ELK stack, Datadog)
Knowledge of networking, security best practices, and cost optimization on cloud platforms
Excellent communication and collaboration skills
VIEW OUR BENEFITS
Domo is an equal opportunity employer
Originally posted on Himalayas
Who can apply
Eligible countries: United States. Accepted UTC offsets: UTC-10, UTC-9, UTC-8, UTC-7, UTC-6, UTC-5, UTC+14. Review the full description for employer-specific work authorization, residency and schedule requirements.